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Showing 7 results for Behnampour

Nasser Behnampour, Ebrahim Hajizadeh, Shahriar Semnani, Farid Zayeri,
Volume 1, Issue 2 (10-2013)
Abstract

Background & objective:

One of the common purposes of medical research is Determination of effective factors on the occurrence of event. Due to the interaction of risk factors regression models, discriminant analysis and classification procedures used. Uses of these models require making the assumption which in the medical data isn’t usually established. Therefore, alternative methods must be used. According to diversification of risk factors for of esophageal cancer, the purpose of this article is the Introduction and application of classification and regression tree for determination of risk factor for esophageal cancer in Golestan province.

Methods:

Data of this article gathered from case-control study. Case group contain all confirmed cases of esophageal cancer that consist of 90 male and 60 female subjects in Golestan province during one year. Two control groups were considered for each case. Control groups were selected from family of patients and neighbors and matched for age, sex, ethnic and place of residence. Data was analyzed with classification and regression tree model and by using of R software. Gini criterion was used for selection of best splitting in each node and ROC surveyed accuracy of CRT model.

Results:

(ethnic factors) can be effective in esophageal cancer occurrences.

Results of Classification tree model showed that exposure to CT and X-ray dye (socio-environmental factors), unwashed hands after defecation, history of smoking (lifestyle factors) and family history of cancer

Conclusion:

models results` interpretation are two essential beneficiary of these models which can use in medical sciences.

Tree models don’t require the establishment of no default for making model and feasibility of tree
Ali Maleka, Dr Nasser Behnampour, Dr Seyed Kamal Mirkarimi, Sadegh Khosravi, Asghar Khosravi,
Volume 5, Issue 2 (10-2017)
Abstract

Background & Objective: Animal bites are a major threat to human health, while the subsequent infections such as Rabies could be lethal. The aim of this study was to determine the epidemiologic status of animal bite and the effect of wasting stray dogs on the incidence of animal bites in Galikesh County since 2009 until 2013.
Methods: The present study was a cross-sectional study with descriptive-analytical approach. A total of 1712 animal-bitten cases who were residing in Galikesh during the years of 2009-2013 were enrolled by census method. Data were collected from the recorded documents of animal-bitten individuals and analyzed by SPSS.
Results: Of all cases, 1203 (70.3%) individuals were male and 509 (29.7%) were female. Regarding the age, cases were ranged between 1 to 89 years with a mean and standard deviation of 26.88 ± 18.39 years. The majority of bite cases (92.3%) were related to dogs. Moreover, 71.4% of bites were on legs. There was a significant relationship between sex and the place of residence as well as between the place of the event (biting) and delay to the first vaccination (P <0.05). Wasting the stray dogs has no effect on reducing the incidence of bites (P <0.05).
Conclusion: The current plan of wasting the stray dogs has no effect on reducing the incidence of bites in Galikesh. Therefore, it is recommended to carry out controlling programs, education and community awareness in this field.

Ali Behnampour, Akbar Biglarian, Enayatolah Bakhshi,
Volume 7, Issue 2 (7-2019)
Abstract

Background and objectives: Autism spectrum disorder (ASD) is a childhood neurodevelopmental disorder and according to DSM-5 classification, its severity includes three levels: requiring support, requiring substantial support, and requiring very substantial support. This classification is unclear from a possible perspective and from a fuzzy point of view; it has a degree of uncertainty. The purpose of this study is to predict the severity of autism disorder by fuzzy logistic regression.
Methods: In this cross-sectional study, 22 children with ASD which referred to the rehabilitation centers of Gorgan in 2017 were used as a research sample. Therapistchr('39')s viewpoint about the severity of the disorder that is measured by linguistic terms (low, moderate, high) was considered as fuzzy output variable. In addition, to determine the prediction model for the severity of autism, a fuzzy logistic regression model was used. In this sense parameters were estimated by least square estimations (LSE) and least absolute deviations (LAD) methods and then the two methods were compared using goodness-of-fit index.
Results: The age of children varied from 6 to 17 years old with mean of 10.44± 3.33 years. Also, the goodness-of-fit index for the model that was estimated by the LAD method was 0.0634, and this value was less than the LSE method (0.1255). The estimated model by the LAD indicates that with the constant of the values of other variables, with each unit increase in the variables of age, male gender, raw score of stereotypical movements, communication and social interaction subscales, possibilistic odds of severity of autism disorder varied about 0.67 (decrease), 0.362 (decrease), 0.098 (increase), 0.019 (increase) and 0.097 (increase) respectively.
Conclusion: The LAD method was better than LSE in parameter estimation. So, the estimated model by this method can be used to predict the severity of autism disorder for new patients who referred to rehabilitation centers and according to predicted severity of the disorder, proper treatments for children can be initiated.
 
Faezeh Ajam, Mehrdad Aghaei, Saeed Mohammadi, Mohsen Saeedi, Nasser Behnampour, Ali Memarian,
Volume 7, Issue 2 (7-2019)
Abstract

Study objectives: Rheumatoid arthritis (RA) is a common chronic and systemic autoimmune disease, characterized by inflammation and the destruction of the joints. It is well known that CD4+ T cells play a major role in the pathogenesis of RA. Expanded subpopulations of CD4+ T cells have been reported in RA patients. Here, we investigated the expression of PD-1 on subsets of CD4+ T cells (CD4+CD28- and CD4+CD28+ T cells) in the peripheral blood (PB) and synovial fluid (SF) of patients with RA.
Methods: A total of 42 RA patients, including 10 newly diagnosed (ND) and 32 relapsed (RL) cases and also 20 healthy controls were enrolled. Phenotypic characterization subsets of CD4+ T cells were evaluated by flow cytometry, using fluorescence conjugated specific human monoclonal antibodies.
Results: The frequency of CD4+CD28+ T cells was significantly increased in SF versus PB in ND and RL patients. In contrast, the percentage of CD4+CD28- T cells was elevated in PB of ND and RL patients comparison to SF. Expression of PD-1 on CD4+CD28+ and CD4+CD28- T cells in PB of ND and RL patients was significantly higher than the healthy controls. Furthermore, PD-1 expression on CD4+CD28+ and CD4+CD28- T cells in SF versus PB of RL patients were significant increased.
Conclusion: These data suggest that CD4+ T cells subsets in RA patients were resistance to PD-1 mediated effects and PD-1 has insufficient ability to suppression of CD4+T cells.
Masoomeh Gholami, Majid Najafzadeh, Naser Behnampour, Zahra Abdollahi, Farzaneh Sadeghi Ghotbabadi, Farhad Lashkarboluki, Mohammad Reza Honarvar,
Volume 7, Issue 3 (9-2019)
Abstract

Background and objectives: Iran was reported in the high-risk group of World Food Security Map in 2008 .Identifying food insecurity is first step for executing interventions. Measuring household food security is its cornerstone. SAMAT System was designed to provide a variety of GIS-based reports to policy makers and managers in the field of food security.
Methods and Materials: SAMAT system was developed by a team working with various specialties. The system was analyzed using Rational Unified Process methodology and after optimization and normalization process, centralized database was formed. SQL Server 2014 software was used for its implementation. SharpMap open source engine was used to render spatial data and display maps on the web, and many parts of the engine were coded specifically to meet different organizational needs. The system was designed using the WEB GIS engine.
 Results: SAMAT system was executed in nine provinces of the country in different periods. SAMAT dashboard provides a variety of information for executive managers. Based on demographic data, the state of food insecurity can be identified at different levels from city to village, in a variety of graphs. A spectrum from the urban distribution to the local distribution of food insecurity can be identified on the GIS map. Zooming in on different areas can help to identify more food insecure neighborhoods within the village or town, thus giving managers the priority of food insecurity interventions at the neighborhood or village level. One can view household characteristics and the results of questionnaire information .
Conclusion:  SAMAT system can be useful for managing food security at the national, provincial, city and even rural or urban levels. we recommend periodically prioritizing points, Identifying the provinces and re-evaluating the effectiveness of interventions through the SAMAT-based system after comprehensive implementation of food insecurity reduction 

Seyedeh Zahra Maddahi, Assie Jokar, Nasser Behnampour, Farhang Babamahmoodi,
Volume 8, Issue 4 (12-2020)
Abstract

Tuberculosis (TB) has always been represented as a constant and serious public health challenge throughout human history due to its intensive epidemiological, clinical, and social implications. Risk factors for TB are very important and lack of attention to these parameters can lead to poor therapeutic results. The risk factors for TB in various studies in modern medicine are described. Avicenna, the great Persian scientist described TB in his book “Canon of Medicine” in a chapter related to pulmonary diseases along with its symptoms and treatment. In addition, according to this scientist, there are risk factors that, if present in a person, make him prone to TB.
It seems that many of the factors mentioned by the scholars of Persian Traditional Medicine (PTM) are not currently among the risk factors for TB in modern medicine and have not been studied yet. If this hypothesis is supported and confirmed by future research in modern medicine, the recommendations of PTM can be a significant help in controlling the consequences of this disease.

Mostafa Yeganegi, Ali Behnampour, Fatemeh Mirzaei, Atena Tabrizi, Haleh Zokaee,
Volume 8, Issue 4 (12-2020)
Abstract

Background and objective: Psychological status is one of the quality of life (QOL) domains which can be affected by hyposalivation caused by head and neck radiotherapy. This study aimed to evaluate the psychological status of head and neck cancer (HNC) patients who were suffering from hyposalivation after at least one week of receiving radiotherapy.
Material And Methods: This descriptive-analytic study was performed on 44 HNC patients with history of hyposalivation caused by radiotherapy, in 5 Azar hospital from 1397-1398. General Health Questionnaire (GHQ-28) was used for data collection. Shapiro-Wilk test, parametric and nonparametric tests and SPSS 18 software were used for statistical analysis.
Results: The average psychological status of patients was 27.50 out of 84 (lower score indicated better psychological status). The mean score of physical health was 7.39, social functioning was 6.16, anxiety/insomnia were 12.64 and depression was 1.33 with the maximum being 21. Psychological status was not significantly different between genders. Ageing caused all subscales to increase except depression. A direct relationship between social functionality and psychological status was reported.
Conclusion: Hyposalivation due to radiotherapy affects psychological status and its components in patients. Also, various factors such as ageing and lower education level can be effective in reducing psychological status in the patients with head and neck cancer who were suffering from hyposalivation due to receiving radiotherapy.


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